Create matt_function.py

matt_function.py

@@ -0,0 +1,27 @@
+from langchain.llms import OpenAI
+from langchain.document_loaders import PyPDFLoader
+from langchain.embeddings import OpenAIEmbeddings
+from langchain.vectorstores import Chroma
+
+# Import OpenAI as main LLM service
+from langchain.llms import OpenAI
+from langchain.embeddings import OpenAIEmbeddings
+
+# Import PDF document loaders...there's other ones as well!
+from langchain.document_loaders import PyPDFLoader
+from langchain.indexes import VectorstoreIndexCreator
+
+
+
+def create_VSI(files, index):   #add vsi and filepaths
+    
+    pathnames = [file.name for file in files]
+
+    loaders = []
+    for pdf in pathnames:
+        loader = PyPDFLoader(pdf)
+        loaders.append(loader)
+
+    index = VectorstoreIndexCreator().from_loaders(loaders)
+
+    return index, "Upload complete"